ECL_Mickeyd at Regional Championship Milwaukee

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Regional Premier February 21, 2026 Record 5-3-0 Field 708

Rating after 2,087

-24

Rating before 2,111 RD 86

Rating after 2,087 RD 82

Effective multiplier 1.3×

Performance 1,970

Field strength Mean 1,600 · Median 1,580 · 712 rated

// rating math · glicko-2 phase replay

How this rating change was computed

Glicko-2 doesn’t reward record — it rewards surprise. Winning a match the system expected you to win is worth almost nothing. Losing one is expensive. Losing to someone rated below you costs the most. The Regional tier multiplier (1.3×) amplifies every gain and every loss.

Shape D top-cut adjustments QF SF F Wins +0.12 +0.18 +0.25 Losses -0.18 -0.27 -0.35

Making cut at this Regional event adds a flat +35 top-cut bonus on top of phase math. Making cut never costs you net rating — the made-cut floor pins the tournament delta to ≥ 0.

Start 2111 → Swiss 2087 -24.3

Top Cut Bracket Full bracket on the event page

Quarterfinals

TP_MaJar 1

Ray Tan 2

ECL_LegoPizza 2

MCG_SpanishAlex 0

CarsonCarusoSWU 0

eakfoil 2

SBS_NinjaFerret 0

ECL_TroyYamaguchi 2

Semifinals

Ray Tan 2

ECL_LegoPizza 1

eakfoil 2

ECL_TroyYamaguchi 1

Finals

Ray Tan 1

eakfoil 2

See full bracket on the event page →

Swiss · 8 matches 5-3 -18.7 1.3× -5.6 -24.3 2087

Total 5-3-0 -24.3 2087

Biggest upset Beat Duncan_Howard 2052 at 55% odds / surprise +0.45

Costliest loss Lost to MCG_QuiShawnJinn 1684 at 81% odds / surprise -0.81 /

Matches (8)

R1 ejtrewni Win 2-0 1.3× +8.0 Swiss

R2 Emmanuel Apodaca Win 2-0 1.3× +12.3 Swiss

R3 Duncan_Howard Win 2-0 1.3× +15.0 Swiss

R4 Bobster117 Win 2-1 1.3× +5.0 Swiss

R5 TP_MaJar Loss 0-2 1.3× Swiss

Glicko-2 predicted 63% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R6 Jmclean90 Win 2-1 1.3× +7.6 Swiss

R7 MCG_QuiShawnJinn Loss 0-2 1.3× Swiss

Glicko-2 predicted 81% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.

R8 Kyle Clay Loss 1-2 1.3× Swiss

Glicko-2 predicted 78% odds in your favor. Unexpected losses carry the most rating signal — the system learns more from one upset than from many predictable wins.